Academic Journal of Business & Management, 2021, 3(10); doi: 10.25236/AJBM.2021.031017.
Yaning Xiao1, Dongchen Wu2
1Faculty of Science, North China University of Science and Technology, Tangshan, China
2School of Mathematics and Statistics, Xidian University, Xi’an, China
In recent years, the development of Sichuan Province has been advancing by leaps and bounds. From 2015 to 2020, the per capita disposable income of residents in Sichuan Province has reached 22,461 yuan, an actual increase of 99.3% year-on-year. In order to predict the future disposable income and provide a basis for formulating policies, GM (1,1) has become an important method. Many existing GM models can only be iterated based on the original data, and cannot add the predicted data to the original data in time. Iterate in. This article predicts the new information GM(1,1) model of metabolism GM(1,1) and compares it with traditional GM(1,1). The experimental results show that the metabolic GM(1,1) has the highest accuracy and is most suitable for predicting the per capita disposable income of Sichuan residents.
Sichuan residents, per capita disposable income, new information GM(1,1), metabolism GM(1,1)
Yaning Xiao, Dongchen Wu. Analysis on the Per Capita Disposable Income of Sichuan Residents Based on Grey Forecasting Extended Model. Academic Journal of Business & Management (2021) Vol. 3, Issue 10: 92-97. https://doi.org/10.25236/AJBM.2021.031017.
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